A current transformer detection method and a detection system

By injecting a wideband excitation signal into the current transformer and constructing a multi-physics coupling model, the contribution of harmonic components to magnetic flux accumulation is quantified. This solves the problem that existing detection methods cannot accurately assess the saturation characteristics of current transformers under harmonic environments, enabling more accurate equipment selection and fault analysis.

CN122109968APending Publication Date: 2026-05-29BAODING JIZHONG ELECTRIC POWER EQUIP CO LTD

Patent Information

Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
BAODING JIZHONG ELECTRIC POWER EQUIP CO LTD
Filing Date
2026-02-10
Publication Date
2026-05-29

AI Technical Summary

Technical Problem

Existing current transformer detection methods cannot accurately reflect their true saturation characteristics under actual dynamic current conditions containing abundant harmonics, leading to the hidden risk of premature saturation in harmonic environments. Furthermore, there is a lack of quantitative analysis methods for the specific contribution of each harmonic component during the saturation process, making it impossible to conduct accurate assessments and optimize equipment selection.

Method used

By injecting a preset wide-range excitation signal into the current transformer, collecting the terminal voltage and response current, establishing a frequency-varying characteristic dataset, separating the frequency-varying characteristic components of eddy current loss and hysteresis loss, constructing a multi-physics coupling model, performing time-domain transient solution, quantifying the contribution of each harmonic component to magnetic flux accumulation, and generating dynamic saturation margin evaluation parameters.

Benefits of technology

It enables a true assessment of the saturation characteristics of current transformers under harmonic excitation, reduces the risk of false tripping or failure to tripping caused by traditional assessment methods, and provides targeted guidance for equipment selection and fault analysis.

✦ Generated by Eureka AI based on patent content.

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Abstract

The application relates to the technical field of electrical measurement, and specifically discloses a current transformer detection and detection system, which obtains an original broadband spectrum impedance characteristic data set of a current transformer through broadband sweep excitation; then separates and extracts a frequency-variable loss characteristic component, and establishes a nonlinear mapping relationship between complex excitation admittance and frequency; a multi-physical field coupling digital model integrating a fusion circuit, a magnetic field and a frequency-variable loss mechanism is constructed based on the mapping relationship; a target dynamic current waveform containing a specific harmonic is injected into the model for time-domain transient solution, simulation secondary current and core dynamic magnetic flux data are obtained; through time-frequency joint analysis and correlation calculation, the contribution degree of each harmonic to the saturation magnetic flux accumulation is quantified, and a dynamic saturation margin evaluation parameter is generated; the application overcomes the defect that a traditional power frequency detection method cannot reflect dynamic inflection point drift under actual harmonic working conditions, and realizes accurate quantitative evaluation of real anti-saturation performance of the current transformer and deep diagnosis of the saturation mechanism.
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